Triple
T7545723
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fennville |
E178396
|
entity |
| Predicate | county |
P75
|
FINISHED |
| Object | Allegan County |
E19322
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Allegan County | Statement: [Fennville, county, Allegan County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allegan County Context triple: [Fennville, county, Allegan County]
-
A.
Allegan County
chosen
Allegan County is a county in southwestern Michigan known for its mix of Lake Michigan shoreline, agricultural land, and small towns.
-
B.
Huron County
Huron County is a predominantly rural county in southwestern Ontario, Canada, known for its agriculture, small towns, and Lake Huron shoreline.
-
C.
Barry County
Barry County is a rural county in southwestern Michigan known for its lakes, forests, and small communities between the Grand Rapids and Kalamazoo metropolitan areas.
-
D.
Waushara County
Waushara County is a rural county in central Wisconsin known for its lakes, forests, and outdoor recreation.
-
E.
Williams County
Williams County is a county in northwestern North Dakota known for its role in the Bakken oil region and its access to outdoor recreation along Lake Sakakawea.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c69f2cbe08819088f9eb0c03ef529b |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f89963ec8190ae7b8a2b9508c074 |
completed | March 27, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d380b6a39c8190ade06ba0249ffa79 |
completed | April 6, 2026, 9:45 a.m. |
Created at: March 27, 2026, 3:48 p.m.